AI Solutions Architect - Lead Analytics and Insights Engineer II
Deloitte · Arlington, Virginia, United States · Yesterday
Hybrid$138k–$229k/yrFull-time
About the role
The AI Solution Architect leads the design and translation of artificial intelligence use cases into scalable, secure, and business-aligned technology solutions. Working within the AI & Data team, responsibilities include partnering with business, product, data, engineering, risk, and operations teams to define AI architecture and guide solution design, overseeing implementation from concept through deployment, and providing deep technical knowledge in AI/ML, cloud, data, and systems integration.
Responsibilities
- Partner with business, product, data, engineering, risk, and operations teams to define AI architecture and guide solution design
- Oversee implementation from concept through deployment
- Provide deep technical knowledge in AI/ML, cloud, data, and systems integration
- Strong stakeholder management and business acumen
Requirements
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Able to meet deadlines
- Ability to provide clear guidance to others
Qualifications
- Bachelor's degree
- Active TS and SCI eligible
- 8+ years of experience in solution architecture, data, analytics, or relevant technical experience
- 3+ years of experience with AI architecture, AI Data Governance, and/or data architecture
- Must be legally authorized to work in the United States without the need for employer sponsorship
Preferred
- Experience supporting government or public sector clients
- Experience with artificial intelligence platform operations, governance, or use case enablement
- Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- Experience coordinating cross-functional teams across product, engineering, and stakeholder groups